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Statistician or Data Scientist
vor 2 Wochen
Country
Germany
Job Family
Operations
Our Mission
At Consumer Panel Services GfK, our mission is clear: to provide key information on who buys what, where, how much, how often, and most importantly, why (or why not). We take pride in delivering high-quality, uninterrupted data, expert consultancy, and unparalleled expertise to empower our clients to deliver superior customer experiences at every stage of the shopper journey.
**Job Description**:
Reporting to our Senior Head of Data Quality also based in Nuremberg, the Statistician or Data Scientist (m/w/d) plays a crucial role in supporting new panel business based on our receipt data based solutions. The Statistician or Data Scientist (m/w/d) provides the data expertise for that business by creation and execution of complex statistical analyses that are required for reporting purposes or for answering in-depth client questions. The Statistician or Data Scientist (m/w/d) designs and rolls out appropriate statistical models, ensures data is valid and mitigates reporting 'gaps' as well as continually strives for data quality through constant data improvement initiatives and the resulting education of CPS colleagues.
You Will:
- Analyse panellist's behaviour in order to properly calibrate data (weighting, benchmarking, response weighting, penetration correction)- Investigate possibilities for combining new data with legacy data- Identify and mitigating data gaps- Create and improving methods and tools, and contribute to best practices in the area of Statistical Sciences- Present Statistical Sciences expertise at conferences and workshops- Develop implement and standardize statistical solutions-
- Consult internal clients on related issues- Foster knowledge exchange- Support in the development of talent and organization of required trainings
You Have:
- Solid knowledge of analytic programming languages (e.g., Python, R) and the respective tool ecosystem (R-Studio Server, Zeppelin, or Jupyter)- Basic skills with regard to performance optimization and scalability (e.g., parallelization, code optimization, containerization, function as a service)- Basic skills with regard to database handling, in particular SQL, NoSQL- Expert statistical modeling skills (e.g, predictive models)- Solid knowledge of optimization and / or machine learning algorithms and / or deep learning algoritms- Basic understanding of Big Data Architectures- Basic knowledge of cloud computing environments and tooling (AWS, Azure)- Basic skills in open data sourcing- Basic skills in open source software sourcing (e.g., Apache, Anaconda, GitHub, )- Ability to think creatively in addressing analytical objectives- Good English language skills (spoken & written)- PhD or Master degree that reflects strong modelling and statistics skills.- Typically 2+ years of work experience
Our benefits in Germany*:
- Flexible working hours + hybrid working model (min. x2 days p/w in the office)- 30 days vacation + 24.12. & 31.12.- Employer-funded pension- Health management, e.g. free sports courses, mental health programs, in-house fitness studio, company doctor- Parent-child office, KiTa cooperation, summer camps, etc.- Comprehensive development and learning programs- Company events, after work, lounges & game zones, wellness room and massage service
- _Location dependent_
LI-Hybrid
We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal employment opportunity, focusing on all of our employees reaching their full potential.
We respect and value every employee regardless of race, ethnicity, gender, sex, sexual orientation, age, personality, experience, culture, faith, socio-economic status, or physical or mental disabilities.
We endorse the core principles and rights set forth in the United Nations Declaration of Human Rights and the Social Charter of Fundamental Rights of the European Union, promoting the universal values of human dignity, freedom, equality, and solidarity.
Learn more about who we are and everything we do on:
